CN110390204A - Medical big data processing system and method - Google Patents
Medical big data processing system and method Download PDFInfo
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- CN110390204A CN110390204A CN201910681044.8A CN201910681044A CN110390204A CN 110390204 A CN110390204 A CN 110390204A CN 201910681044 A CN201910681044 A CN 201910681044A CN 110390204 A CN110390204 A CN 110390204A
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- 238000013500 data storage Methods 0.000 claims abstract description 14
- 210000000352 storage cell Anatomy 0.000 claims abstract description 14
- 238000007405 data analysis Methods 0.000 claims abstract description 11
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F21/60—Protecting data
- G06F21/604—Tools and structures for managing or administering access control systems
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F21/60—Protecting data
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Abstract
The present invention provides a kind of medical big data processing system and methods, including big data acquisition unit, Data Encryption Transmission unit, control unit, data processing unit, data storage cell, data transmission unit and backstage supervising platform；Big data acquisition unit connects control unit by Data Encryption Transmission unit；Control unit is separately connected data processing unit and data storage cell；Control unit connects backstage supervising platform by data transmission unit；Big data acquisition unit, for acquiring medical data, Data Encryption Transmission unit is for the encryption to medical data and transmission；Data processing unit generates ciphertext data for successively being analyzed medical data, screening and being encrypted again in order to the extraction to data.The present invention can be realized the Quick Acquisition to medical data, analysis, encryption and transmission, can be improved the efficiency of management of medical data, convenient for the supervision and analysis on backstage, the effective accuracy for improving data analysis.
Description
Technical field
The present invention relates to data processings, and in particular, to a kind of medical treatment big data processing system and method.
Background technique
Big data refers to the data that can not be captured, managed and be handled with conventional software tool within the scope of certain time
Set is magnanimity, the Gao Zeng for needing new tupe that could have stronger decision edge, see clearly discovery power and process optimization ability
Long rate and diversified information assets.
Someone likens data in the coal mine for containing energy.Coal has coking coal, anthracite, rich coal, meager coal etc. according to property
Classification, and the excavating cost of open coal mine, remote mountains coal mine is different.Similar, big data is not " big "
" useful ".Value content, excavating cost are more even more important than quantity.For many industries, how these extensive numbers are utilized
According to being the key that win competition.The value dimension of big data is in the following aspects: providing product or service to a large amount of consumers
Enterprise can use big data carry out precision marketing；The medium and small micro- enterprise for doing small and U.S. mode can use big data and service
Transition；The traditional forms of enterprises that facing must make the transition under internet pressure needs to grow with each passing hour to make full use of the value of big data.
Current medical big data processing system is complicated, and treatment effeciency is low, and safety is poor, therefore, it is necessary to provide one kind
Effective data processing method.
Summary of the invention
For the defects in the prior art, the object of the present invention is to provide a kind of medical big data processing system and methods.
The medical big data processing system provided according to the present invention, including big data acquisition unit, Data Encryption Transmission list
Member, control unit, data processing unit, data storage cell, data transmission unit and backstage supervising platform；
The big data acquisition unit connects described control unit by the Data Encryption Transmission unit；The control is single
Member is separately connected the data processing unit and the data storage cell；Described control unit passes through the data transmission unit
Connect the backstage supervising platform；
The big data acquisition unit, for acquiring medical data, the Data Encryption Transmission unit is used for medical number
According to encryption and transmission；The data processing unit is for successively being analyzed, being screened and being encrypted again to the medical data
Ciphertext data are generated in order to the extraction to data；The data storage cell is for storing the ciphertext data；Institute
Data transmission unit is stated, for the ciphertext data will to be transmitted to backstage supervising platform.
Preferably, the data processing unit includes data analysis module, data screening module and data encryption module；
The data analysis module determines whether the medical data is to be screened for receiving the medical data
Medical data；
The data screening module generates the medical number for passing through and screening for carrying out screening to medical data to be screened
According to；
The data encryption module generates ciphertext data for carrying out second of encryption to the medical data by screening.
Preferably, following steps when the data screening module screens medical data to be screened:
Step M301: obtaining medical data to be screened, and the medical data to be screened includes date tag；
Step M302: multiple noise datas are extracted from the medical data to be screened as sample data；
Step M303: conversion process is carried out to the sample data, obtains the transformation data of the sample data；
Step M304: establishing concordance list, and the concordance list has a variety of index feature values, the date tag is mapped to
Concordance list；
Step M305: Tag Estimation is carried out to the sample data and corresponding transformation data, determines each sample data
Target labels and target labels probability；
Step M306: according to the target labels of each sample data and target labels probability, multiple sample datas are sieved
Choosing, and the medical data is screened based on date tag associated with input instruction and exports the medical data by screening.
Preferably, the following steps when data encryption module encrypts the medical data by screening:
Step N1: an AES128 encryption key is generated by data encryption module, and by encryption key according to pre-defined rule
Generate one group of sub-key；
Step N2: the data of input are packaged at random and generate multiple sub-blocks；
Step N3: MD5 processing is carried out to the encryption key；
Step N4: capitalization processing is carried out to preceding 16 characters of the encryption key handled through MD5, obtains variant key；
Step N5: multiple sub-blocks to be encrypted being encrypted by AES-192 algorithm using variant key,
Obtain corresponding ciphertext block data；
Step N6: ciphertext data are generated after multiple ciphertext block datas are encrypted using the encryption mechanism pre-seted.
Preferably, the encryption mechanism pre-seted is combined specifically by the multiple encryption algorithms pre-seted to described close
Literary data block carries out repeatedly encryption to generate the ciphertext data.
Medical treatment big data processing method provided by the invention, includes the following steps:
Step S1: the medical data of medical institutions is acquired by big data acquisition unit, the medical data includes patient
Data, medical worker's data, medical treatment cost and medical income；
Step S2: it is single that control is transmitted to after the medical data after acquisition is encrypted by Data Encryption Transmission unit
Member；
Step S3: control unit is transmitted in data processing unit the medical data of acquisition, the data processing unit
Data are analyzed, screened and are encrypted again and generate ciphertext data；
Step S4: ciphertext data are sent to data storage cell and are stored；
Step S5: the ciphertext data after storage are transmitted to backstage supervision by data transmission unit and put down by described control unit
Platform monitors medical data in real time.
Preferably, the step S3 includes the following steps:
Step S301: receiving the medical data, and analysis determines whether the medical data is medical data to be screened；
Step S302: screening is carried out to the medical data to be screened and generates the medical data for passing through and screening；
Step S303: encryption is carried out to the medical data by screening and generates ciphertext data.
Preferably, following steps when being screened in the step S302 to medical data to be screened:
Step M301: obtaining medical data to be screened, and the medical data to be screened includes date tag；
Step M302: multiple noise datas are extracted from medical data to be screened as sample data；
Step M303: conversion process is carried out to the sample data, obtains the transformation data of the sample data；
Step M304: establishing concordance list, and concordance list has a variety of index feature values, the date tag is mapped to rope
Draw table；
Step M305: Tag Estimation is carried out to the sample data and corresponding transformation data, determines each sample data
Target labels and target labels probability；
Step M306: according to the target labels of each sample data and target labels probability, multiple sample datas are sieved
Choosing, and the medical data is screened based on date tag associated with input instruction and exports the medical data by screening.
Preferably, the following steps when step S303 encrypts the medical data by screening:
Step N1: an AES128 encryption key is generated by data encryption module, and by encryption key according to pre-defined rule
Generate one group of sub-key；
Step N2: the data of input are packaged at random and generate multiple sub-blocks；
Step N3: MD5 processing is carried out to the encryption key；
Step N4: capitalization processing is carried out to preceding 16 characters of the encryption key handled through MD5, obtains variant key；
Step N5: multiple sub-blocks to be encrypted being encrypted by AES-192 algorithm using variant key,
Obtain corresponding ciphertext block data；
Step N6: ciphertext data are generated after multiple ciphertext block datas are encrypted using the encryption mechanism pre-seted.
Preferably, the encryption mechanism pre-seted is combined specifically by the multiple encryption algorithms pre-seted to described close
Literary data block carries out repeatedly encryption to generate the ciphertext data.
Compared with prior art, the present invention have it is following the utility model has the advantages that
1, the present invention can be realized the Quick Acquisition to medical data, analysis, encryption and transmission, can be improved medical data
The efficiency of management, convenient for the supervision and analysis on backstage, the effective accuracy for improving data analysis；
2, the data screening method that the present invention uses can carry out data screening automatically, and it is convenient and time-consuming short to operate, can
Human resources are enough saved, and are able to ascend data screening efficiency；
3, the data ciphering method that the present invention uses greatly improves the complexity of data encryption, so that data crack difficulty and add
By force, effectively critical data is avoided to reveal, greatly improves the safety of data.
Detailed description of the invention
Upon reading the detailed description of non-limiting embodiments with reference to the following drawings, other feature of the invention,
Objects and advantages will become more apparent upon:
Fig. 1 is the functional block diagram of medical big data processing system in the embodiment of the present invention；
Fig. 2 is the flow chart of medical big data processing method in the embodiment of the present invention；
Fig. 3 is data screening method flow diagram in the embodiment of the present invention.
Specific embodiment
The present invention is described in detail combined with specific embodiments below.Following embodiment will be helpful to the technology of this field
Personnel further understand the present invention, but the invention is not limited in any way.It should be pointed out that the ordinary skill of this field
For personnel, without departing from the inventive concept of the premise, various modifications and improvements can be made.These belong to the present invention
Protection scope.
Fig. 1 is the functional block diagram of medical big data processing system in the embodiment of the present invention, as shown in Figure 1, the present invention provides
Medical big data processing system, including big data acquisition unit 1, Data Encryption Transmission unit 2, control unit 3, data processing
Unit 4, data storage cell 5, data transmission unit 6 and backstage supervising platform 7；
The big data acquisition unit 1 connects described control unit 3 by the Data Encryption Transmission unit 2；The control
Unit 3 processed is separately connected the data processing unit 4 and the data storage cell 5；Described control unit 3 passes through the data
Transmission unit 6 connects the backstage supervising platform 7；
The big data acquisition unit 1, for acquiring medical data, the Data Encryption Transmission unit is used for medical number
According to encryption and transmission；The data processing unit is for successively being analyzed, being screened and being encrypted again to the medical data
Ciphertext data are generated in order to the extraction to data；The data storage cell is for storing the ciphertext data；Institute
Data transmission unit is stated, for the ciphertext data will to be transmitted to backstage supervising platform.
In the present embodiment, the medical data includes patient data, medical worker's data, medical treatment cost and medical income
In any data or appoint a variety of data.
In the present embodiment, the present invention can be realized the Quick Acquisition to medical data, analysis, encryption and transmission, can
The efficiency of management of medical data is improved, convenient for the supervision and analysis on backstage, the effective accuracy for improving data analysis.
In an embodiment of the present invention, the data processing unit 4 includes data analysis module 8,9 and of data screening module
Data encryption module 10；
The data analysis module 8 determines whether the medical data is to be screened for receiving the medical data
Medical data；
The data screening module 9 generates the medical number for passing through and screening for carrying out screening to medical data to be screened
According to；
The data encryption module 10 generates ciphertext number for carrying out second of encryption to the medical data by screening
According to.
In an embodiment of the present invention, it is as follows when the data screening module 9 screens medical data to be screened
Step:
Step M301: obtaining medical data to be screened, and the medical data to be screened includes date tag；
Step M302: multiple noise datas are extracted from the medical data to be screened as sample data；
In an embodiment of the present invention, the noise data is exactly meaningless data, and such as there is mistake or exceptions (partially
From desired value) data, these data cause interference to the analysis of data.
Step M303: conversion process is carried out to the sample data, obtains the transformation data of the sample data；
In an embodiment of the present invention, the conversion process is to carry out standardization processing to data, is such as converted data to
Unified format.
Step M304: establishing concordance list, and the concordance list has a variety of index feature values, the date tag is mapped to
Concordance list；
In an embodiment of the present invention, a variety of index feature values are to establish index, seek characteristic value by index.
Step M305: Tag Estimation is carried out to the sample data and corresponding transformation data, determines each sample data
Target labels and target labels probability；
In an embodiment of the present invention, it specifically, establishing prediction model towards medical big data theme is analyzed, and then obtains
Prediction index.Such as be hospitalized probability, exactly first define aiming field in hospital, then derive from influence index, then establish classification
Prediction model obtains corresponding probability.
Step M306: according to the target labels of each sample data and target labels probability, multiple sample datas are sieved
Choosing, and the medical data is screened based on date tag associated with input instruction and exports the medical data by screening.
In an embodiment of the present invention, specifically, according to target labels probability to sample data and corresponding transformation data
It is ranked up；Wherein, the target labels probability value for the preceding data that sort is big；Screening obtains sorting in each grouping preceding, pre-
If the sample data of quantity and transformation data；And the medical data is screened according to date tag in turn.
The data screening method that the present invention uses can carry out data screening automatically, and it is convenient and time-consuming short to operate, can either
Human resources are saved, and are able to ascend data screening efficiency.
In an embodiment of the present invention, when the data encryption module 10 encrypts the medical data by screening such as
Lower step:
Step N1: an AES128 encryption key is generated by data encryption module, and by encryption key according to pre-defined rule
Generate one group of sub-key；
In an embodiment of the present invention, the pre-defined rule is that the password of setting is regular, such as set of number, 2, Isosorbide-5-Nitrae 5,67.
Specific meaning is had no, indicates second pages then can will be the page number on a book by setting key and rule, 2,1
Indicate the first character of second page.Such as second page first character is A, likewise, assume that 45 be B, 67 be C so password just
It is the book of ABC is here exactly key, the method for expression is exactly rule.Two have been unified one password of composition.
Step N2: the data of input are packaged at random and generate multiple sub-blocks；
Step N3: MD5 processing is carried out to the encryption key；
Step N4: capitalization processing is carried out to preceding 16 characters of the encryption key handled through MD5, obtains variant key；
Step N5: multiple sub-blocks to be encrypted being encrypted by AES-192 algorithm using variant key,
Obtain corresponding ciphertext block data；
Step N6: ciphertext data are generated after multiple ciphertext block datas are encrypted using the encryption mechanism pre-seted.
In the present embodiment, the data ciphering method that the present invention uses greatly improves the complexity of data encryption, makes total
Reinforce according to difficulty is cracked, effectively critical data is avoided to reveal, greatly improve the safety of data.
In an embodiment of the present invention, the encryption mechanism pre-seted is specifically by the multiple encryption algorithms pre-seted
Combination carries out repeatedly encryption to the ciphertext block data to generate the ciphertext data.
Fig. 2 is the flow chart of medical big data processing method in the embodiment of the present invention, as shown in Fig. 2, provided by the invention
Medical big data processing method, includes the following steps:
Step S1: the medical data of medical institutions is acquired by big data acquisition unit, the medical data includes patient
Data, medical worker's data, medical treatment cost and medical income；
Step S2: it is single that control is transmitted to after the medical data after acquisition is encrypted by Data Encryption Transmission unit
Member；
Step S3: control unit is transmitted in data processing unit the medical data of acquisition, the data processing unit
Data are analyzed, screened and are encrypted again and generate ciphertext data；
Step S4: ciphertext data are sent to data storage cell and are stored；
Step S5: the ciphertext data after storage are transmitted to backstage supervision by data transmission unit and put down by described control unit
Platform monitors medical data in real time.
In the present embodiment, the medical data includes patient data, medical worker's data, medical treatment cost and medical income
In any data or appoint a variety of data.
In the present embodiment, the present invention can be realized the Quick Acquisition to medical data, analysis, encryption and transmission, can
The efficiency of management of medical data is improved, convenient for the supervision and analysis on backstage, the effective accuracy for improving data analysis.
In an embodiment of the present invention, the step S3 includes the following steps:
Step S301: receiving the medical data, and analysis determines whether the medical data is medical data to be screened；
Step S302: screening is carried out to the medical data to be screened and generates the medical data for passing through and screening；
Step S303: encryption is carried out to the medical data by screening and generates ciphertext data.
Fig. 3 is data screening method flow diagram in the embodiment of the present invention, as shown in figure 3, treating sieve in the step S302
The following steps when medical data of choosing is screened:
Step M301: obtaining medical data to be screened, and the medical data to be screened includes date tag；
Step M302: multiple noise datas are extracted from medical data to be screened as sample data；
Step M303: conversion process is carried out to the sample data, obtains the transformation data of the sample data；
Step M304: establishing concordance list, and concordance list has a variety of index feature values, the date tag is mapped to rope
Draw table；
Step M305: Tag Estimation is carried out to the sample data and corresponding transformation data, determines each sample data
Target labels and target labels probability；
Step M306: according to the target labels of each sample data and target labels probability, multiple sample datas are sieved
Choosing, and the medical data is screened based on date tag associated with input instruction and exports the medical data by screening.
The data screening method that the present invention uses can carry out data screening automatically, and it is convenient and time-consuming short to operate, can either
Human resources are saved, and are able to ascend data screening efficiency.
In an embodiment of the present invention, the following steps when step S303 encrypts the medical data by screening:
Step N1: an AES128 encryption key is generated by data encryption module, and by encryption key according to pre-defined rule
Generate one group of sub-key；
Step N2: the data of input are packaged at random and generate multiple sub-blocks；
Step N3: MD5 processing is carried out to the encryption key；
Step N4: capitalization processing is carried out to preceding 16 characters of the encryption key handled through MD5, obtains variant key；
Step N5: multiple sub-blocks to be encrypted being encrypted by AES-192 algorithm using variant key,
Obtain corresponding ciphertext block data；
Step N6: ciphertext data are generated after multiple ciphertext block datas are encrypted using the encryption mechanism pre-seted.
In the present embodiment, the data ciphering method that the present invention uses greatly improves the complexity of data encryption, makes total
Reinforce according to difficulty is cracked, effectively critical data is avoided to reveal, greatly improve the safety of data.
In an embodiment of the present invention, the encryption mechanism pre-seted is specifically by the multiple encryption algorithms pre-seted
Combination carries out repeatedly encryption to the ciphertext block data to generate the ciphertext data.
The multiple encryption algorithms group is combined into the combination of the close SM4 algorithm of AES-256 algorithm and state, the AES-256 algorithm
Combination with SM4 algorithm refers to: in encryption data, AES-256 algorithm and SM4 algorithm are encrypted data twice to obtain
The data packet of encryption.
In the present embodiment, the present invention can be realized the Quick Acquisition to medical data, analysis, encryption and transmission, can
The efficiency of management of medical data is improved, convenient for the supervision and analysis on backstage, the effective accuracy for improving data analysis；The present invention
The data screening method of use can carry out data screening automatically, and it is convenient and time-consuming short to operate, and can either save human resources, again
It is able to ascend data screening efficiency；The data ciphering method that the present invention uses greatly improves the complexity of data encryption, makes total
Reinforce according to difficulty is cracked, effectively critical data is avoided to reveal, greatly improve the safety of data.
Specific embodiments of the present invention are described above.It is to be appreciated that the invention is not limited to above-mentioned
Particular implementation, those skilled in the art can make various deformations or amendments within the scope of the claims, this not shadow
Ring substantive content of the invention.
Claims (10)
1. a kind of medical treatment big data processing system, which is characterized in that including big data acquisition unit (1), Data Encryption Transmission list
First (2), control unit (3), data processing unit (4), data storage cell (5), data transmission unit (6) and backstage are supervised
Platform (7)；
The big data acquisition unit (1) connects described control unit (3) by the Data Encryption Transmission unit (2)；It is described
Control unit (3) is separately connected the data processing unit (4) and the data storage cell (5)；Described control unit (3) is logical
It crosses the data transmission unit (6) and connects the backstage supervising platform (7)；
The big data acquisition unit (1), for acquiring medical data, the Data Encryption Transmission unit is used for medical data
Encryption and transmission；The data processing unit is for successively being analyzed the medical data, being screened and being encrypted again life
At ciphertext data in order to the extraction to data；The data storage cell is for storing the ciphertext data；It is described
Data transmission unit, for the ciphertext data will to be transmitted to backstage supervising platform.
2. medical treatment big data processing system according to claim 1, which is characterized in that data processing unit (4) packet
Include data analysis module (8), data screening module (9) and data encryption module (10)；
The data analysis module (8) determines whether the medical data is doctor to be screened for receiving the medical data
Treat data；
The data screening module (9) generates the medical data for passing through and screening for carrying out screening to medical data to be screened；
The data encryption module (10) generates ciphertext data for carrying out second of encryption to the medical data by screening.
3. medical treatment big data processing system according to claim 2, which is characterized in that the data screening module (9) is right
Following steps when medical data to be screened is screened:
Step M301: obtaining medical data to be screened, and the medical data to be screened includes date tag；
Step M302: multiple noise datas are extracted from the medical data to be screened as sample data；
Step M303: conversion process is carried out to the sample data, obtains the transformation data of the sample data；
Step M304: establishing concordance list, and the concordance list has a variety of index feature values, the date tag is mapped to index
Table；
Step M305: Tag Estimation is carried out to the sample data and corresponding transformation data, determines the target of each sample data
Label and target labels probability；
Step M306: according to the target labels of each sample data and target labels probability, screening multiple sample datas, and
The medical data is screened based on date tag associated with input instruction and exports the medical data by screening.
4. medical treatment big data processing system according to claim 2, which is characterized in that the data encryption module (10) is right
Following steps when being encrypted by the medical data of screening:
Step N1: an encryption key is generated by data encryption module, and encryption key is generated into one group of son according to pre-defined rule
Key；
Step N2: the data of input are packaged at random and generate multiple sub-blocks；
Step N3: MD5 processing is carried out to the encryption key；
Step N4: capitalization processing is carried out to the forward multidigit character of the arrangement of the encryption key handled through MD5, obtains variant key；
Step N5: corresponding ciphertext is obtained by being encrypted to multiple sub-blocks to be encrypted using variant key
Data block；
Step N6: ciphertext data are generated after multiple ciphertext block datas are encrypted using the encryption mechanism pre-seted.
5. medical treatment big data processing system according to claim 4, which is characterized in that the encryption equipment fixture pre-seted
Body is that the multiple encryption algorithms combination by pre-seting carries out repeatedly encryption to the ciphertext block data to generate the ciphertext number
According to.
6. a kind of medical treatment big data processing method, which comprises the steps of:
Step S1: by big data acquisition unit acquire medical institutions medical data, the medical data include patient data,
Medical worker's data, medical treatment cost and medical income；
Step S2: control unit is transmitted to after the medical data after acquisition is encrypted by Data Encryption Transmission unit；
Step S3: control unit is transmitted in data processing unit the medical data of acquisition, the data processing unit logarithm
Ciphertext data are generated according to being analyzed, screening and being encrypted again；
Step S4: ciphertext data are sent to data storage cell and are stored；
Step S5: the ciphertext data after storage are transmitted to backstage supervising platform pair by data transmission unit by described control unit
Medical data is monitored in real time.
7. medical treatment big data processing method according to claim 6, which is characterized in that the step S3 includes following step
It is rapid:
Step S301: receiving the medical data, and analysis determines whether the medical data is medical data to be screened；
Step S302: screening is carried out to the medical data to be screened and generates the medical data for passing through and screening；
Step S303: encryption is carried out to the medical data by screening and generates ciphertext data.
8. medical treatment big data processing method according to claim 7, which is characterized in to be screened in the step S302
Medical data following steps when being screened:
Step M301: obtaining medical data to be screened, and the medical data to be screened includes date tag；
Step M302: multiple noise datas are extracted from medical data to be screened as sample data；
Step M303: conversion process is carried out to the sample data, obtains the transformation data of the sample data；
Step M304: establishing concordance list, and concordance list has a variety of index feature values, the date tag is mapped to index
Table；
Step M305: Tag Estimation is carried out to the sample data and corresponding transformation data, determines the target of each sample data
Label and target labels probability；
Step M306: according to the target labels of each sample data and target labels probability, screening multiple sample datas, and
The medical data is screened based on date tag associated with input instruction and exports the medical data by screening.
9. medical treatment big data processing method according to claim 7, which is characterized in that in step S303 to passing through screening
Following steps when medical data is encrypted:
Step N1: an encryption key is generated by data encryption module, and encryption key is generated into one group of son according to pre-defined rule
Key；
Step N2: the data of input are packaged at random and generate multiple sub-blocks；
Step N3: MD5 processing is carried out to the encryption key；
Step N4: the forward multidigit character of the arrangement to the encryption key handled through MD5 carries out capitalization processing, obtains deforming close
Key；
Step N5: multiple sub-blocks to be encrypted are encrypted using variant key, obtain corresponding ciphertext data
Block；
Step N6: ciphertext data are generated after multiple ciphertext block datas are encrypted using the encryption mechanism pre-seted.
10. medical treatment big data processing method according to claim 9, which is characterized in that the encryption mechanism pre-seted
Repeatedly encryption is carried out to generate the ciphertext to the ciphertext block data specifically by the multiple encryption algorithms combination pre-seted
Data.
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